Automated Deep Learning Model Optimization via Domain-Specific Language-Based Source Code Transformation
Adopter, an automated approach, leverages a domain-specific language to represent deep learning model architectures and applies transformation rules to integrate optimized deep learning kernels into model implementations, improving training speed and reducing GPU memory usage.